agent-swarm
MCP serverDatabases & dataagent-swarm is an integration that lets your AI coordinate multiple agents working together as a team. It provides the full Agent Swarm API and keeps its data in a local database on your machine. Once added, your AI can orchestrate several agents on shared work instead of handling everything alone.
Unavailable. This server has no hosted endpoint yet, so Ahel can't serve it.
Add to setup to save this item as a reference. Ahel cannot run it, and signing in will not install it.
What your AI can do with it
- Coordinate multiple agents on shared tasks
- Manage agents through the Agent Swarm API
- Store agent data in a local SQLite database
- Keep agent information on your own machine
Getting started
- Save this item in Your setup as a reference.
- Read the source or reference documentation for its setup requirements. Saving it here does not connect it to your AI.
- Check this page for availability before trying to install it through Ahel.
From the project's README
As published by desplega-ai/agent-swarm in README.md.
[!TIP] This repo evolves every single day. Watch now →
agent-swarm.dev is an open-source operating system for AI work. A lead agent delegates goals to workers such as Claude Code or Codex. Isolated containers, shared memory, tools, schedules, and review gates preserve work across sessions.
What you get
- A lead agent that receives work from Slack, repositories, issue trackers, email, or the API
- Schema-validated task results for callers that need structured JSON output
- Dashboard file attachments by drag-and-drop or file picker
- Workers in isolated Docker containers with development environments
- Memory and identity that persist across sessions
- Workflows, schedules, scripts, and apps for recurring work
- Realtime rooms for shared page state, presence, and live channels
- Your choice of harness and models: Claude Code, Codex, pi, opencode, Devin, or ACP agents
flowchart LR
subgraph IN["Tasks come in"]
direction TB
S["Slack"]
G["GitHub / GitLab"]
E["Email"]
A["API / CLI"]
end
LEAD(["Lead Agent<br/>plans & delegates"])
subgraph WORKERS["Workers in Docker"]
direction TB
W1["Worker"]
W2["Worker"]
W3["Worker"]
end
subgraph BRAIN["Persistent brain"]
direction TB
MEM["Memory<br/>(vector search)"]
ID["Identity<br/>(SOUL, CLAUDE.md)"]
end
subgraph OUT["Work ships"]
direction TB
PR["Pull Requests"]
REPLY["Slack replies"]
EMAIL["Email replies"]
end
IN --> LEAD --> WORKERS
WORKERS -->|reads context| BRAIN
WORKERS -->|writes learnings| BRAIN
WORKERS --> OUT
Quick Start
Give your coding agent the operator skill for Docker Compose or Kubernetes:
npx skills add desplega-ai/agent-swarm
Or use the examples directly:
git clone https://github.com/desplega-ai/agent-swarm.git && cd agent-swarm
cp .env.docker.example .env # Set API_KEY, a harness credential, and all eight agent UUIDs.
openssl rand -base64 32 > encryption_key
chmod 600 .env encryption_key
docker compose -f docker-compose.example.yml --env-file .env up -d
Read the Compose checklist before starting. API: http://localhost:3013, with /docs and /openapi.json. Dashboard: connect it to your API.
Kubernetes: install the OCI Helm chart.
Integrations
Slack · GitHub · GitLab · Linear · Jira · AgentMail · WhatsApp (Kapso) · Composio · Sentry · Devin. Integration guides.
Learn more
- Getting started · Architecture · Playbooks · CLI · API reference
- Agent templates
- Help: contact@desplega.sh · Discord
Contributing
Read CONTRIBUTING.md, fork the repository, create a branch, and open a PR. Discuss ideas on Discord.
Are you an agent? Run
npx skills add desplega-ai/agent-swarmor read the operator skill.
Star History
License
MIT · 2025-2026 desplega.sh
Signals
- GitHub stars
- 850
- Forks
- 106
- Last commit
- Oct 2026
Advanced
- Delivery
- agent-swarm MCP server → your Ahel connector (mcp.ahel.ai) → your AI.
- Item type
- mcp-server
- Key
io-github-desplega-ai-agent-swarm- Source
- github.com/desplega-ai/agent-swarm
- Hosted endpoint
https://{swarm_host}/mcp-user
github.com/desplega-ai/agent-swarm
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